private void btnEvaluateFile_Click(object sender, EventArgs e) { if (!File.Exists(txtEvaluationFile.Text)) { MessageBox.Show("Chemin invalide"); return; } var rawDataset = new DrugDataset(); var normalizedDataset = new DrugDataset(); var rawLines = File.ReadAllLines(txtEvaluationFile.Text).Select(x => x.Split(',')).ToList(); var lines = File.ReadAllLines(txtEvaluationFile.Text).Select(x => x.Split(',')).ToList(); Logger.LogMessage($"All lines were read from evaluation file ${txtEvaluationFile.Text}"); try { rawDataset.CreateDataset(rawLines); normalizedDataset.CreateDataset(lines); } catch (Exception ex) { Logger.LogError($"Error happened while creating Dataset: ${ex.Message}"); } normalizedDataset.CleanAllColumns(); DecisionTreePrediction prediction = new DecisionTreePrediction(rawDataset, normalizedDataset, _tree); prediction.Predict(); }
public KNN2(DrugDataset drugDataset, List <string> columnsInConsideration, DrugDataset predictionDataset, int neighborsInCondideration, KNNInterpretation interpretation) { _drugDataset = drugDataset; _columnsInConsideration = columnsInConsideration; _predictionDataset = predictionDataset; _neighborsInCondideration = neighborsInCondideration; _interpretation = interpretation; _predictionDataset.CleanAllColumns(); _drugDataset.CleanAllColumns(); Predict(); ShowResult(); Interpret(); }
private void btnCleanAll_Click(object sender, EventArgs e) { _drugDataset.CleanAllColumns(); }
private void btnBuild_Click(object sender, EventArgs e) { List <string> columnsInConsideration = new List <string>(); for (int i = 0; i < checkedListBox1.Items.Count; i++) { if (checkedListBox1.GetItemCheckState(i) == CheckState.Checked) { columnsInConsideration.Add(checkedListBox1.Items[i].ToString()); } } double entropie; if (!double.TryParse(txtEpsilon.Text, out entropie)) { MessageBox.Show("Entropie format est pas valide"); return; } if (entropie < 0 || entropie > 1) { MessageBox.Show("Entropie doit etre entre 0 et 1"); return; } TrainingRatio ratio = TrainingRatio.T1_E1; if (rb11.Checked) { ratio = TrainingRatio.T1_E1; } if (rb21.Checked) { ratio = TrainingRatio.T2_E1; } if (rb31.Checked) { ratio = TrainingRatio.T3_E1; } if (rb41.Checked) { ratio = TrainingRatio.T4_E1; } if (rb12.Checked) { ratio = TrainingRatio.T1_E2; } if (rb13.Checked) { ratio = TrainingRatio.T1_E3; } if (rb14.Checked) { ratio = TrainingRatio.T1_E4; } if (rb23.Checked) { ratio = TrainingRatio.T2_E3; } if (rb34.Checked) { ratio = TrainingRatio.T3_E4; } Logger.BringToFront(); _drugDataset.CleanAllColumns(); DecisionTree decisionTree = new DecisionTree(_drugDataset, columnsInConsideration, entropie, ratio); _tree = decisionTree.RunTraining(); lblTree.ForeColor = Color.Green; lblTree.Text = _tree.Name + "( non sauvegardé )"; ShowTreeInfo(); tabControl1.SelectedTab = tabPage3; }